I need to delete names of the countries which do not belong to EU from a data frame. I applied this part of code:
df=df[df['COUNTRY'].isin(EU)]
wheras EU is a list of EU countries
As output I get the df with hidden rows of non EU countries (eg. indexing starts with 6). How can I remove them entirely from my dataframe?
If indexing is the issue, you could reset the index after slicing your dataframe.
Like this:
df = df[df['COUNTRY'].isin(EU)].reset_index(drop=True)
You can filter out rows with country not in the EU list by using ~
for inversion:
df = df[~df['COUNTRY'].isin(EU)]
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